Feature Selection Based on Sampling and C4.5 Algorithm to Improve the Quality of Text Classification Using Naïve Bayes

Author:

Molano Viviana,Cobos Carlos,Mendoza Martha,Herrera-Viedma Enrique,Manic Milos

Publisher

Springer International Publishing

Reference40 articles.

1. Su, J., Sayyad-Shirab, J., Stan, M.: Large Scale Text Classification using Semi-supervised Multinomial Naive Bayes. In: Proceedings of the 28th International Conference on Machine Learning (ICML 2011), pp. 97–104 (2011)

2. Laur, E.J.M., March, A.D.: Combining Bayesian Text Classification and Shrinkage to Automate Healthcare Coding: A Data Quality Analysis. J. Data and Information Quality 2(3), 1–22 (2011)

3. He, Y., Xie, J., Xu, C.: An improved Naive Bayesian algorithm for Web page text classification. In: 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD (2011)

4. Ambert, K.H., Cohen, A.M.: k-Information Gain Scaled Nearest Neighbors: A Novel Approach to Classifying Protein-Protein Interaction-Related Documents. IEEE/ACM Transactions on Computational Biology and Bioinformatics 9(1), 305–310 (2012)

5. Wajeed, M.A., Adilakshmi, T.: Semi-supervised text classification using enhanced KNN algorithm. In: 2011 World Congress on Information and Communication Technologies, WICT (2011)

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